diff normalize_select_features_scale.xml @ 1:6bccf5f85f92 draft default tip

planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/seurat_v5 commit 566984b588e88225f0b3f2dae88c6fd084315e7c

--- a/normalize_select_features_scale.xml	Wed Sep 11 10:20:38 2024 +0000
+++ b/normalize_select_features_scale.xml	Tue Nov 05 11:54:52 2024 +0000
@@ -3,6 +3,7 @@
     <macros>
         <import>macros.xml</import>
     </macros>
+    <expand macro="bio_tools"/>
     <expand macro="requirements"/>
     <expand macro="version_command"/>
     <command detect_errors="exit_code"><![CDATA[
@@ -404,7 +405,7 @@
 Seurat
 ======
 
-Seurat is an R package designed for QC, analysis, and exploration of single-cell RNA-seq data. 
+Seurat is an R package designed for QC, analysis, and exploration of single-cell RNA-seq data.
 
 Seurat aims to enable users to identify and interpret sources of heterogeneity from single-cell transcriptomic measurements, and to integrate diverse types of single-cell data.
 
@@ -444,7 +445,7 @@
 Scale and regress the data with ScaleData
 =========================================
 
-Scale and center features in the dataset. 
+Scale and center features in the dataset.
 
 If variables are provided in vars.to.regress, they are individually regressed against each feature, and the resulting residuals are then scaled and centered.
 
@@ -454,7 +455,7 @@
 SCTransform
 ===========
 
-Use this function as an alternative to the NormalizeData, FindVariableFeatures, ScaleData workflow. 
+Use this function as an alternative to the NormalizeData, FindVariableFeatures, ScaleData workflow.
 
 Results are saved in a new assay (named SCT by default) with counts being (corrected) counts, data being log1p(counts), scale.data being pearson residuals; sctransform::vst intermediate results are saved in misc slot of new assay.